| Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine Z Ahmed, K Mohamed, S Zeeshan, XQ Dong Database 2020, baaa010, 2020 | 595 | 2020 |
| Human gene and disease associations for clinical‐genomics and precision medicine research Z Ahmed, S Zeeshan, D Mendhe, XQ Dong Clinical and Translational Medicine 10 (1), 297-318, 2020 | 102 | 2020 |
| Practicing precision medicine with intelligently integrative clinical and multi-omics data analysis Z Ahmed Human genomics 14 (1), 35, 2020 | 91 | 2020 |
| Software applications toward quantitative metabolic flux analysis and modeling T Dandekar, A Fieselmann, S Majeed, Z Ahmed Briefings in bioinformatics 15 (1), 91-107, 2014 | 62 | 2014 |
| Developing sustainable software solutions for bioinformatics by the “Butterfly” paradigm Z Ahmed, S Zeeshan, T Dandekar F1000Research 3, 2014 | 46 | 2014 |
| Artificial intelligence and machine learning approaches using gene expression and variant data for personalized medicine S Vadapalli, H Abdelhalim, S Zeeshan, Z Ahmed Briefings in bioinformatics 23 (5), bbac191, 2022 | 44 | 2022 |
| Lipid-Pro: a computational lipid identification solution for untargeted lipidomics on data-independent acquisition tandem mass spectrometry platforms Z Ahmed, M Mayr, S Zeeshan, T Dandekar, MJ Mueller, A Fekete Bioinformatics 31 (7), 1150-1153, 2015 | 42 | 2015 |
| Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine H Abdelhalim, A Berber, M Lodi, R Jain, A Nair, A Pappu, K Patel, ... Frontiers in Genetics 13, 2022 | 39 | 2022 |
| 100 Years of evolving gene–disease complexities and scientific debutants S Zeeshan, R Xiong, BT Liang, Z Ahmed Briefings in bioinformatics 21 (3), 885-905, 2020 | 39 | 2020 |
| Software LS-MIDA for efficient mass isotopomer distribution analysis in metabolic modelling Z Ahmed, S Zeeshan, C Huber, M Hensel, D Schomburg, R Münch, ... BMC bioinformatics 14, 1-11, 2013 | 32 | 2013 |
| Discovering biomarkers associated and predicting cardiovascular disease with high accuracy using a novel nexus of machine learning techniques for precision medicine W DeGroat, H Abdelhalim, K Patel, D Mendhe, S Zeeshan, Z Ahmed Scientific Reports 14 (1), 1, 2024 | 31 | 2024 |
| ‘Isotopo’a database application for facile analysis and management of mass isotopomer data Z Ahmed, S Zeeshan, C Huber, M Hensel, D Schomburg, R Münch, ... Database 2014, bau077, 2014 | 31 | 2014 |
| Cultivating software solutions development in the scientific academia Z Ahmed, S Zeeshan Recent Patents on Computer Science 7 (1), 54-66, 2014 | 29 | 2014 |
| Mining biomedical images towards valuable information retrieval in biomedical and life sciences Z Ahmed, S Zeeshan, T Dandekar Database 2016, baw118, 2016 | 26 | 2016 |
| Designing flexible GUI to increase the acceptance rate of product data management systems in industry Z Ahmed arXiv preprint arXiv:1103.1134, 2011 | 25 | 2011 |
| Towards performance measurement and metrics based analysis of PLA applications Z Ahmed arXiv preprint arXiv:1007.5127, 2010 | 24 | 2010 |
| MAV-clic: management, analysis, and visualization of clinical data Z Ahmed, M Kim, BT Liang JAMIA open 2 (1), 23-28, 2019 | 23 | 2019 |
| Role of ontology in semantic web development Z Ahmed, D Gerhard arXiv preprint arXiv:1008.1723, 2010 | 22 | 2010 |
| Investigating genes associated with heart failure, atrial fibrillation, and other cardiovascular diseases, and predicting disease using machine learning techniques for … V Venkat, H Abdelhalim, W DeGroat, S Zeeshan, Z Ahmed Genomics 115 (2), 110584, 2023 | 20 | 2023 |
| I-ATAC: interactive pipeline for the management and pre-processing of ATAC-seq samples Z Ahmed, D Ucar PeerJ 5, e4040, 2017 | 20 | 2017 |
Saman Zeeshan, Ph.D.School of Medicine, University of Missouri Kansas City, MOVerified email at umkc.edu
